Daniel Dugas

According to our database, Daniel Dugas authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas

CoRR, June, 2025

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D.

Sergio Arnaud, Paul McVay, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

CoRR, April, 2025

2023

Sampling-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow.

Kuanqi Cai, Weinan Chen, Daniel Dugas, Roland Siegwart, Jen Jen Chung

IEEE Trans. Intell. Transp. Syst., December, 2023

2022

Do Androids Dream of Interactive Navigation?: Towards World-models for Interactive, Crowd-navigating Robots.

Daniel Dugas

PhD thesis, 2022

FlowBot: Flow-based Modeling for Robot Navigation.

Daniel Dugas, Kuanqi Cai, Olov Andersson, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

NavDreams: Towards Camera-Only RL Navigation Among Humans.

Daniel Dugas, Olov Andersson, Roland Siegwart, Jen Jen Chung

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd.

Fabien Grzeskowiak, David J. Gonon, Daniel Dugas, Diego Paez-Granados, Jen Jen Chung, Juan I. Nieto, Roland Siegwart, Aude Billard, Marie Babel, Julien Pettré

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments.

Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

SegMap: Segment-based mapping and localization using data-driven descriptors.

Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Hannes Sommer, Marcin Dymczyk, Juan I. Nieto, Roland Siegwart, Cesar Cadena

Int. J. Robotics Res., 2020

Mixed and Augmented Reality Tools in the Medical Anatomy Curriculum.

Melanie Romand, Daniel Dugas, Christophe Gaudet-Blavignac, Jessica Rochat, Christian Lovis

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Robot Navigation in Crowded Environments Using Deep Reinforcement Learning.

Lucia Liu, Daniel Dugas, Gianluca Cesari, Roland Siegwart, Renaud Dubé

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

IAN: Multi-Behavior Navigation Planning for Robots in Real, Crowded Environments.

Daniel Dugas, Juan I. Nieto, Roland Siegwart, Jen Jen Chung

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning.

Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, César Cadena, Thierry Peynot

Proceedings of the Field and Service Robotics, 2019

2018

SegMap: 3D Segment Mapping using Data-Driven Descriptors.

Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Juan I. Nieto, Roland Siegwart, Cesar Cadena

Proceedings of the Robotics: Science and Systems XIV, 2018

2017

SegMatch: Segment based place recognition in 3D point clouds.

Renaud Dubé, Daniel Dugas, Elena Stumm, Juan I. Nieto, Roland Siegwart, Cesar Cadena

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

SegMatch: Segment based loop-closure for 3D point clouds.

Renaud Dubé, Daniel Dugas, Elena Stumm, Juan I. Nieto, Roland Siegwart, Cesar Cadena

CoRR, 2016